TY  - BOOK
AU  - Brown,Helen
AU  - Prescott,Robin
TI  - Applied mixed models in medicine
T2  - Statistics in practice
SN  - 9781118778258 (cloth)
U1  - 000SB:610 23
PY  - 2015///
CY  - Chichester
PB  - John Wiley
KW  - Medicine
KW  - Statistics as Topic
KW  - methods
KW  - Statistical Models
N1  - Includes bibliographical references and index; 1. Introduction--
2. Normal mixed models--
3. Generalised linear mixed models--
4. Mixed models for categorical data--
5. Multi-centre trials and meta-analyses--
6. Repeated measures data--
7. Cross-over trials--
8. Other applications of mixed models--
9. Software for fitting mixed models--
Glossary--
References--
Index
N2  - The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis, enabling efficient inferences and more information to be gained from the data. There have been many recent advances in mixed modelling, particularly regarding the software and applications. This third edition of Brown and Prescott s groundbreaking text provides an update on the latest developments, and includes guidance on the use of current SAS techniques across a wide range of applications
ER  -